4,311 to 4,320 of 8,306 Results
Tabular Data - 2.7 KB - 3 Variables, 54 Observations - UNF:6:fANow0Uve8cY19x1omehYA==
List of measured parameters, with units and equipment (CSV version) |
Tabular Data - 15.0 KB - 301 Variables, 11 Observations - UNF:6:ppm20A90uCYACbhwwMUNUA==
Station Mé - Rivière |
Tabular Data - 15.4 KB - 301 Variables, 11 Observations - UNF:6:KP9o0yZ2Gag5W1EW6YphEw==
Station Ria Grande - Lagune Aghien |
Tabular Data - 13.5 KB - 12 Variables, 413 Observations - UNF:6:VPPGk1z/l2M5bqkMLpQfgw==
Hai Phong province - Do Son Bay (N20°39'46.738; E106°43'40.713); Do Son Bay; water. October 2019. |
Tabular Data - 11.7 KB - 12 Variables, 413 Observations - UNF:6:Ny5LgoE8RZTe9GwQWDQm9Q==
Hai Phong province - Do Son Bay (N20°39'46.738; E106°43'40.713); Do Son Bay; water. January 2020. |
Tabular Data - 13.1 KB - 12 Variables, 413 Observations - UNF:6:E064KJ+zKM0KjfCRisMgTg==
Hai Phong province - Do Son Bay (N20°39'46.738; E106°43'40.713); Do Son Bay; water. May 2020. |
Tabular Data - 18.0 KB - 12 Variables, 413 Observations - UNF:6:s40zbgZlZ+DYVD7SAcoQ8g==
Hai Phong province - Do Son Bay (N20°39'46.738; E106°43'40.713); Do Son Bay; water. July 2020. |
Tabular Data - 13.3 KB - 12 Variables, 413 Observations - UNF:6:kvZBaNbFxLXSRQ3xWCmvLw==
Quang Ninh province - Cua Luc Bay (N20°58'56.247; E107°3'48.628); Cua Luc Bay; water. October 2019. |
Tabular Data - 11.7 KB - 12 Variables, 413 Observations - UNF:6:WGSRUwMXvBi5IWiZ18+pqw==
Quang Ninh province - Cua Luc Bay (N20°58'56.247; E107°3'48.628); Cua Luc Bay; water. May 2020. |
Feb 1, 2021 - EVOGEC Team
Guyot, Romain; Orozco-Arias, Simon; Isaza, Gustavo, 2021, "Fasta files for InpactorDB: A Plant classified lineage-level LTR retrotransposon reference library for free-alignment methods based on Machine Learning", https://doi.org/10.23708/QCMOUA, DataSuds, V2
Here, we present InpactorDB a semi-curated dataset composed of 130,511 elements from 195 plant genomes belonging to 108 plant species, classified down to the lineage level. This dataset has been used to train two deep neural networks (one fully connected and one convolutional) fo... |
